package net.bw.realtime.jtp.dws.trade.job;

import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;

/*
 * @ Author：liuyawei
 * @ Date：2025-06-03
 */
public class JtpOrderSkuAggregateDwsJob {

    public static void main(String[] args) {

        // 1.创建表环境
        TableEnvironment tabEnv = getTableEnv();

        // 2.创建输入表
        createInputTable(tabEnv);

        // 3.处理数据
        Table reportTable = handle(tabEnv);
        // 输出
        //reportTable.execute().print();

        // 4.创建输出表
        createOutputTable(tabEnv);

        // 5.保存数据
        saveToDoris(tabEnv, reportTable);

    }

    private static void saveToDoris(TableEnvironment tabEnv, Table reportTable) {

        // 创建视图
        tabEnv.createTemporaryView("report_table", reportTable);

        // 执行插入
        tabEnv.executeSql(
                "INSERT INTO dws_trade_sku_order_report_doris_sink\n" +
                        "SELECT\n" +
                        "    SUBSTRING(CAST(start_time AS STRING), 0, 19) AS start_time,\n" +
                        "    SUBSTRING(CAST(end_time AS STRING), 0, 19) AS end_time,\n" +
                        "    SUBSTRING(CAST(start_time AS STRING), 0, 10) AS cur_date,\n" +
                        "    sku_id, sku_name, spu_id, spu_name, tm_id, tm_name,\n" +
                        "    category3_id, category3_name, category2_id, category2_name, category1_id, category1_name,\n" +
                        "    order_count, order_amount\n" +
                        "FROM report_table"
        );

    }

    // 创建输出表
    private static void createOutputTable(TableEnvironment tabEnv) {

        tabEnv.executeSql(
                "CREATE TABLE dws_trade_sku_order_report_doris_sink(\n" +
                        "    `start_time` STRING,\n" +
                        "    `end_time` STRING,\n" +
                        "    `cur_date` STRING,\n" +
                        "    `sku_id` STRING,\n" +
                        "    `sku_name` STRING,\n" +
                        "    `spu_id` STRING,\n" +
                        "    `spu_name` STRING,\n" +
                        "    `tm_id` STRING,\n" +
                        "    `tm_name` STRING,\n" +
                        "    `category3_id` STRING,\n" +
                        "    `category3_name` STRING,\n" +
                        "    `category2_id` STRING,\n" +
                        "    `category2_name` STRING,\n" +
                        "    `category1_id` STRING,\n" +
                        "    `category1_name` STRING,\n" +
                        "    `order_count` BIGINT,\n" +
                        "    `order_amount` DECIMAL(16, 2)\n" +
                        ") WITH (\n" +
                        "    'connector' = 'doris',\n" +
                        "    'fenodes' = 'node102:8030',\n" +
                        "    'table.identifier' = 'jtp_mall_report.dws_trade_sku_order_report',\n" +
                        "    'username' = 'root',\n" +
                        "    'password' = '123456',\n" +
                        "    'sink.batch.interval' = '10s',\n" +
                        "    'sink.max-retries' = '3',\n" +
                        "    'sink.batch.size' = '1000'\n" +
                        ")"
        );

    }

    // 处理数据
    private static Table handle(TableEnvironment tabEnv) {

        // 通过HBase创建商品维度表
        tabEnv.executeSql(
                "CREATE TABLE dim_sku_info_hbase_source (\n" +
                        "    row_key STRING,\n" +
                        "    info ROW<id STRING, spu_id STRING, price STRING, sku_name STRING, sku_desc STRING, weight STRING, tm_id STRING, category3_id STRING, sku_default_img STRING, is_sale STRING, create_time STRING>,\n" +
                        "    PRIMARY KEY (row_key) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "    'connector' = 'hbase-2.2',\n" +
                        "    'table-name' = 'dim_sku_info',\n" +
                        "    'zookeeper.quorum' = 'node101:2181,node102:2181,node103:2181',\n" +
                        "    'lookup.async' = 'true',\n" +
                        "    'lookup.cache.max-rows' = '10',\n" +
                        "    'lookup.cache.ttl' = '1 hour'\n" +
                        ")"
        );

        // 维表关联
        Table order_join_table = tabEnv.sqlQuery(
                "SELECT\n" +
                        "    t1.id,\n" +
                        "    t1.order_id,\n" +
                        "    t1.user_id,\n" +
                        "    t1.sku_id,\n" +
                        "    t1.sku_name,\n" +
                        "    t1.province_id,\n" +
                        "    t1.create_time,\n" +
                        "    t1.source_type_name,\n" +
                        "    t1.sku_num,\n" +
                        "    t1.split_total_amount,\n" +
                        "    t2.spu_id,\n" +
                        "    t2.category3_id,\n" +
                        "    t2.tm_id\n" +
                        "FROM dwd_order_detail_kafka_source t1\n" +
                        "    LEFT JOIN dim_sku_info_hbase_source FOR SYSTEM_TIME AS OF t1.proc_time AS t2\n" +
                        "        ON t1.sku_id = t2.row_key"
        );

        // 创建视图
        tabEnv.createTemporaryView("order_join_table", order_join_table);

        // 通过窗口函数，根据Sku分组，聚合计算，
        Table result_table = tabEnv.sqlQuery(
                "SELECT\n" +
                        "    DATE_FORMAT(window_start, 'yyyy-MM-dd HH:mm:ss') AS start_time,\n" +
                        "    DATE_FORMAT(window_end, 'yyyy-MM-dd HH:mm:ss') AS end_time,\n" +
                        "    sku_id, sku_name, spu_id, category3_id, tm_id ,\n" +
                        "    count(distinct id) AS order_count,\n" +
                        "    sum(cast(split_total_amount AS DECIMAL(10, 2))) AS order_amount,\n" +
                        "    PROCTIME() AS proc_time\n" +
                        "FROM TABLE (\n" +
                        "    TUMBLE(\n" +
                        "         DATA => TABLE order_join_table,\n" +
                        "         TIMECOL => DESCRIPTOR(create_time),\n" +
                        "         SIZE => INTERVAL '1' MINUTES\n" +
                        "    )\n" +
                        ")\n" +
                        "WHERE user_id IS NOT NULL AND source_type_name IS NOT NULL\n" +
                        "GROUP BY\n" +
                        "    window_start, window_end,\n" +
                        "    sku_id, sku_name, spu_id, category3_id, tm_id"
        );

        // 创建视图
        tabEnv.createTemporaryView("result_table", result_table);

        // 创建维度表 dim_spu_info_hbase_source
        tabEnv.executeSql(
                "CREATE TABLE dim_spu_info_hbase_source (\n" +
                        "    row_key STRING,\n" +
                        "    info ROW<id STRING, spu_name STRING, description STRING, category3_id STRING, tm_id STRING>,\n" +
                        "    PRIMARY KEY (row_key) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "    'connector' = 'hbase-2.2',\n" +
                        "    'table-name' = 'dim_spu_info',\n" +
                        "    'zookeeper.quorum' = 'node101:2181,node102:2181,node103:2181',\n" +
                        "    'lookup.async' = 'true',\n" +
                        "    'lookup.cache.max-rows' = '10',\n" +
                        "    'lookup.cache.ttl' = '1 hour'\n" +
                        ")"
        );

        // 创建维度表 dim_base_trademark_hbase_source
        tabEnv.executeSql(
                "CREATE TABLE dim_base_trademark_hbase_source (\n" +
                        "    row_key STRING,\n" +
                        "    info ROW<id STRING, tm_name STRING, logo_url STRING>,\n" +
                        "    PRIMARY KEY (row_key) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "    'connector' = 'hbase-2.2',\n" +
                        "    'table-name' = 'dim_base_trademark',\n" +
                        "    'zookeeper.quorum' = 'node101:2181,node102:2181,node103:2181',\n" +
                        "    'lookup.async' = 'true',\n" +
                        "    'lookup.cache.max-rows' = '10',\n" +
                        "    'lookup.cache.ttl' = '1 hour'\n" +
                        ")"
        );

        // 创建维度表 dim_base_category3_hbase_source
        tabEnv.executeSql(
                "CREATE TABLE dim_base_category3_hbase_source (\n" +
                        "    row_key STRING,\n" +
                        "    info ROW<id STRING, name STRING, category2_id STRING>,\n" +
                        "    PRIMARY KEY (row_key) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "    'connector' = 'hbase-2.2',\n" +
                        "    'table-name' = 'dim_base_category3',\n" +
                        "    'zookeeper.quorum' = 'node101:2181,node102:2181,node103:2181',\n" +
                        "    'lookup.async' = 'true',\n" +
                        "    'lookup.cache.max-rows' = '10',\n" +
                        "    'lookup.cache.ttl' = '1 hour'\n" +
                        ")"
        );

        // 创建维度表 dim_base_category2_hbase_source
        tabEnv.executeSql(
                "CREATE TABLE dim_base_category2_hbase_source (\n" +
                        "    row_key STRING,\n" +
                        "    info ROW<id STRING, name STRING, category1_id STRING>,\n" +
                        "    PRIMARY KEY (row_key) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "    'connector' = 'hbase-2.2',\n" +
                        "    'table-name' = 'dim_base_category2',\n" +
                        "    'zookeeper.quorum' = 'node101:2181,node102:2181,node103:2181',\n" +
                        "    'lookup.async' = 'true',\n" +
                        "    'lookup.cache.max-rows' = '10',\n" +
                        "    'lookup.cache.ttl' = '1 hour'\n" +
                        ")"
        );

        // 创建维度表 dim_base_category1_hbase_source
        tabEnv.executeSql(
                "CREATE TABLE dim_base_category1_hbase_source (\n" +
                        "    row_key STRING,\n" +
                        "    info ROW<id STRING, name STRING>,\n" +
                        "    PRIMARY KEY (row_key) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "    'connector' = 'hbase-2.2',\n" +
                        "    'table-name' = 'dim_base_category1',\n" +
                        "    'zookeeper.quorum' = 'node101:2181,node102:2181,node103:2181',\n" +
                        "    'lookup.async' = 'true',\n" +
                        "    'lookup.cache.max-rows' = '10',\n" +
                        "    'lookup.cache.ttl' = '1 hour'\n" +
                        ")"
        );

        // 将result_table与维度表进行join
        Table report_table = tabEnv.sqlQuery(
                "SELECT\n" +
                        "    t1.start_time,\n" +
                        "    t1.end_time,\n" +
                        "    t1.sku_id,\n" +
                        "    t1.sku_name,\n" +
                        "    t1.spu_id,\n" +
                        "    t2.spu_name,\n" +
                        "    t1.tm_id,\n" +
                        "    t3.tm_name,\n" +
                        "    t1.category3_id,\n" +
                        "    t4.name AS category3_name,\n" +
                        "    t4.category2_id,\n" +
                        "    t5.name AS category2_name,\n" +
                        "    t5.category1_id,\n" +
                        "    t6.name AS category1_name,\n" +
                        "    t1.order_count,\n" +
                        "    t1.order_amount,\n" +
                        "    UNIX_TIMESTAMP() * 1000 AS ts\n" +
                        "FROM result_table t1\n" +
                        "    LEFT JOIN dim_spu_info_hbase_source FOR SYSTEM_TIME AS OF t1.proc_time AS t2 ON t1.spu_id = t2.row_key\n" +
                        "    LEFT JOIN dim_base_trademark_hbase_source FOR SYSTEM_TIME AS OF t1.proc_time AS t3 ON t1.tm_id = t3.row_key\n" +
                        "    LEFT JOIN dim_base_category3_hbase_source FOR SYSTEM_TIME AS OF t1.proc_time AS t4 ON t1.category3_id = t4.row_key\n" +
                        "    LEFT JOIN dim_base_category2_hbase_source FOR SYSTEM_TIME AS OF t1.proc_time AS t5 ON t4.category2_id = t5.row_key\n" +
                        "    LEFT JOIN dim_base_category1_hbase_source FOR SYSTEM_TIME AS OF t1.proc_time AS t6 ON t5.category1_id = t6.row_key"
        );

        // 返回结果表
        return report_table;
    }

    // 创建输入表
    private static void createInputTable(TableEnvironment tabEnv) {

        tabEnv.executeSql(
                "CREATE TABLE dwd_order_detail_kafka_source\n" +
                        "(\n" +
                        "    `id`                    STRING,\n" +
                        "    `order_id`              STRING,\n" +
                        "    `user_id`               STRING,\n" +
                        "    `order_status`          STRING,\n" +
                        "    `sku_id`                STRING,\n" +
                        "    `sku_name`              STRING,\n" +
                        "    `province_id`           STRING,\n" +
                        "    `activity_id`           STRING,\n" +
                        "    `activity_rule_id`      STRING,\n" +
                        "    `coupon_id`             STRING,\n" +
                        "    `date_id`               STRING,\n" +
                        "    `create_time`           TIMESTAMP(3),\n" +
                        "    `operate_date_id`       STRING,\n" +
                        "    `operate_time`          STRING,\n" +
                        "    `source_id`             STRING,\n" +
                        "    `source_type`           STRING,\n" +
                        "    `source_type_name`      STRING,\n" +
                        "    `sku_num`               STRING,\n" +
                        "    `split_original_amount` STRING,\n" +
                        "    `split_activity_amount` STRING,\n" +
                        "    `split_coupon_amount`   STRING,\n" +
                        "    `split_total_amount`    STRING,\n" +
                        "    `row_op_ts`             STRING,\n" +
                        "    `proc_time` AS PROCTIME(),\n" +
                        "    WATERMARK FOR create_time AS create_time - INTERVAL '0' MINUTE\n" +
                        ") WITH (\n" +
                        "    'connector' = 'kafka',\n" +
                        "    'topic' = 'dwd-order-detail',\n" +
                        "    'properties.bootstrap.servers' = 'node101:9092,node102:9092,node103:9092',\n" +
                        "    'properties.group.id' = 'gid-dws-trade-sku-order',\n" +
                        "    'scan.startup.mode' = 'earliest-offset',\n" +
                        "    'format' = 'json',\n" +
                        "    'json.fail-on-missing-field' = 'false',\n" +
                        "    'json.ignore-parse-errors' = 'true'\n" +
                        ")"
        );

    }

    private static TableEnvironment getTableEnv() {

        // 1环境属性设置
        EnvironmentSettings settings = EnvironmentSettings.newInstance()
                .useBlinkPlanner()
                .inStreamingMode()
                .build();
        TableEnvironment tabEnv = TableEnvironment.create(settings) ;

        // 2配置属性设置
        Configuration configuration = tabEnv.getConfig().getConfiguration();
        configuration.setString("table.local-time-zone", "Asia/Shanghai");
        configuration.setString("table.exec.resource.default-parallelism", "1");
        configuration.setString("table.exec.state.ttl", "5 s");

        // 3返回对象
        return tabEnv;

    }

}
